遗传演化建模方法研究

EVOLUTIONARY MODELING BASED ON GENETIC MECHANISM

根据观测数据建模 ,首先需要确定模型的结构 ,其后才是估计模型参数 ,而模型结构的确定是建模过程中最困难的阶段。遗传演化建模根据生物遗传机制 ,随机构造一组模型表达式 ,应用简单的基因复制、杂交和变异算子进行模型结构调整 ,同时进行非线性优化估计模型参数 ,从而得到一组优化的模型。遗传演化建模能够获得简单的显式表达式 。

Model building with observed data has two steps, which first determines model structure and is most hard, and then estimate parameters. Evolutionary modeling based on genetic algorithms can obtain a set of optimized models by simulating natural selection and evolutionary of organism. It will create a set of model expressions at random, and adjust their structures with reproduction, crossover and mutation operation, and estimate parameters simultaneity by nonlinear regression. The explicit simple models can be derived from evolutionary modeling and have superiority interpolation and extrapolation to artificial neural network.